Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Cloud Hosting, Cloud Infrastructure, Scalability, Verification And Validation, Cloud Deployment, Capacity Management, Application Deployment
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, Machine Learning Software, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Process Driven Development, Dependency Analysis, Performance Tuning
Advanced · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science, Data Transformation, Algebra
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Data Lakes, Databricks, Data Pipelines, Apache Spark, Data Architecture, Data Transformation, Data Infrastructure, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Processing, Data Manipulation, Data Cleansing, Data Validation, Data Maintenance, Data Management, Python Programming, Data Entry, SQL, Data Collection
Intermediate · Course · 1 - 4 Weeks